How to Use the Guestmeter MCP in LangChain

Q: Can a LangChain agent automatically send surveys through Guestmeter?

Yes. The agent uses the sendsurvey tool to dispatch SMS or email requests. You write the logic to trigger this after a checkout event.

Q: How do I filter guest ratings to find promoters?

Use the listpromoters tool. It returns guests who scored their stay 9 or 10, giving you a clean list of advocates.

Connect the Guestmeter MCP Server to your LangChain chains to automate post-stay outreach and catch detractors before they post online.

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Connect Guestmeter MCP to LangChain

Create your Vinkius account to connect Guestmeter to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Guestmeter with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated service recovery loops

The `list_detractors` tool identifies unhappy guests who gave ratings under 7. Your LangChain agent grabs these IDs and passes them to `get_guest_details` to pull contact info. This builds a direct pipeline from a bad score to a targeted recovery action. You feed this data into a custom chain that drafts a personal apology. LangSmith traces the entire sequence, tracking latency and verifying that your agent behaves as expected.

Targeted post-stay feedback collection

The `send_survey` tool triggers a new satisfaction survey via SMS or email. Running this through an MCP Server lets you decide which channel to use based on historical response rates. The agent checks `list_guest_feedback` to see who ignored the first attempt. It then routes the second attempt to a different channel, avoiding survey fatigue while pulling in fresh feedback.

Live reputation monitoring via LangChain

The `list_recent_feedback` tool pulls the 50 newest guest ratings into your agent's context window. Your chain checks for trends, spotting sudden drops in service quality across specific shifts or properties. The agent separates these into promoters using `list_promoters` and routes positive feedback to marketing. This keeps your team reactive to guest sentiment in real time without manual dashboard checking.

Setup guide

Set up Guestmeter MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Guestmeter tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "guestmeter-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Guestmeter transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Guestmeter. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Guestmeter MCP in LangChain

Install the adapter package using pip. Register the server URL inside a MultiServerMCPClient instance, pull the tools, and pass them directly to your agent executor.

Yes. The agent uses the `send_survey` tool to dispatch SMS or email requests. You write the logic to trigger this after a checkout event.

LangChain tracks tool calls via LangSmith, showing exactly where a payload failed. If a survey fails to send, the chain catches the error and can retry or alert your team.

Use the `list_promoters` tool. It returns guests who scored their stay 9 or 10, giving you a clean list of advocates.

Guest phone numbers and emails stay inside the secure V8 sandbox. This server routes the data directly to the API without writing it to external logs or persistent databases.

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